TraceGen And SIMPACT Improve Robot Learning With 3D Traces And Simulation

Robot learning is bottlenecked by data: adapting to new tasks, robots, and environments often requires many demonstrations.

Meet TraceGen! A motion world model that learns in a compact 3D trace space, abstracting away complex appearance.

This enables learning from diverse videos.

Meet @JayLEE_0301 at #605!

I will be around all poster sessions!

Please come say HI!

Customizing multiple visual concepts remains challenging.

We introduce UniVerse, a segmentation-free framework that learns to disentangle, localize, and recombine individual concepts within diffusion transformers.

Come check out the cool results by Quynh (#53). https://universe-personalization.github.io/